【摘要】 光纤陀螺的随机漂移是捷联式惯导系统的主要误差源,为了减小光纤陀螺的随机误差并提高其精度,需要对光纤陀螺的随机误差进行精确建模,本文根据时间序列理论,采用自回归AR模型法,建立了光纤陀螺随机误差模型。根据该模型,采用卡尔曼滤波算法实现了对光纤陀螺的随机误差的滤波。滤波结果和Allan方差分析表明,滤波后光纤陀螺随机误差得到了明显地减小,光纤陀螺的精度得到了有效地提高。更多还原

【Abstract】 The random drift of fiber optic gyroscope(FOG) is the main error source of the strapdown inertial navigation system(SINS).The random error of FOG should be modeled accurately to reduce FOG′s random error and improve its precision.According to the theory of the time series analysis,FOG′s random error model was build with autoregression AR model method.Based on this model,FOG′s random error was filtered with Kalman filtering algorithm.The filtering and Allan variance analysis results proved that the FOG′s random error after filtering was obviously reduced and the FOG precision was improved effectively.更多还原